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Erschienen in:
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2017 | OriginalPaper | Buchkapitel

Highlights Extraction in Sports Videos Based on Automatic Posture and Gesture Recognition

verfasst von : Kazimierz Choroś

Erschienen in: Intelligent Information and Database Systems

Verlag: Springer International Publishing

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Abstract

Content-based indexing of sports videos is usually based on the automatic detection of video highlights. Highlights can be detected on the basis of players’ or referees’ gestures and postures. Some gestures and postures of players are very typical for special sports events. These special gestures and postures can be recognized mainly in close-up and medium close view shots. The effective view classification method should be first applied. In the paper sports video shots favorable to detect gesture and posture of players are characterized and then experimental results of the tests with video shot categorization based on gesture recognition are presented. Then important and interesting moments in soccer games are detected when referees hold the penalty card above the head and look towards the player that has committed a serious offense. This recognition process is based only on visual information of sports videos and does not use any sensors.

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Vorheriges Kapitel Boosting Discriminative Models for Activity Detection Using Local Feature Descriptors
Nächstes Kapitel A High-Performance Algorithm for Mining Repeating Patterns
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Metadaten
Titel
Highlights Extraction in Sports Videos Based on Automatic Posture and Gesture Recognition
verfasst von
Kazimierz Choroś
Copyright-Jahr
2017
Buch
Intelligent Information and Database Systems

Print ISBN: 978-3-319-54471-7

Electronic ISBN: 978-3-319-54472-4

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-54472-4_58

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